Search Results
ST 740 Bayesian Inference and Analysis
Introduction to Bayesian inference; specifying prior distributions; conjugate priors, summarizing posterior information, predictive distributions, hierachical models, asymptotic consistency and asymptotic normality. Markov Chain Monte Carlo (MCMC) methods and the use of exising software(e.g., WinBUGS).
Prerequisite: 厂罢听702
Typically offered in Fall only
Statistics (PhD)
/graduate/sciences/statistics/statistics-phd/
1 Unless student has taken ST聽542 Statistical Practice 2 A 500-level or 700-level course in either statistics or another department with material relevant to the student鈥檚 plan of work. Examples include ST聽520 , ST聽531 , ST聽533 , ST聽534 , ST聽537 , ST聽540 , ST聽544 , ST聽546 / MA聽546 , ST聽563 , ST聽721 ,聽 ST聽732 , ST聽733 , 厂罢听740 , ST聽745 , ST聽746 , ST聽747 / MA聽747 , and聽 ST聽790 3 Additional courses may include聽 ST聽801 ,聽 ST聽895 聽and courses taken from a Master of Statistics or Master of Science in Statistics degree at NCSU.